As the material carrier of social service industry,public service facilities are important indicators to measure human settlement.With the continuous deepening of inventory development practice,urban renewal has gradu...As the material carrier of social service industry,public service facilities are important indicators to measure human settlement.With the continuous deepening of inventory development practice,urban renewal has gradually become one of the sources of supply of public service facilities.Focusing on the urban renewal activities of Futian District,Shenzhen from 2010 to 2016,the study conducts an empirical study on the pattern of public service facility networks before and after urban renewal through social network analysis.The fi ndings show that:①on the whole,the public service system in Futian District has been effectively improved during urban renewal development;②the impact of urban renewal on public service system is characterized by differentiation,among which industrial and commercial facilities have been signifi cantly improved,while educational and medical facilities have been hardly improved;③urban renewal has a clear policy orientation as an institutional means,and promoting economic restructuring and industrial reorganization is still the primary purpose of urban renewal during inventory development stage.展开更多
In the context of smart community construction, the intelligent renewal of community public service facilities faces many challenges. To study the spatial distribution of smart community and community public service f...In the context of smart community construction, the intelligent renewal of community public service facilities faces many challenges. To study the spatial distribution of smart community and community public service facilities, the distribution status of public service facilities in Pingguoyuan Street, Shijingshan District, Beijing was analyzed through POI points and relying on ArcGIS as a platform, and the distribution of public service facilities and intelligent facility strategy in the context of smart community were explored to provide contributions to the construction of smart community and the spatial optimization of intelligent facilities.展开更多
文摘As the material carrier of social service industry,public service facilities are important indicators to measure human settlement.With the continuous deepening of inventory development practice,urban renewal has gradually become one of the sources of supply of public service facilities.Focusing on the urban renewal activities of Futian District,Shenzhen from 2010 to 2016,the study conducts an empirical study on the pattern of public service facility networks before and after urban renewal through social network analysis.The fi ndings show that:①on the whole,the public service system in Futian District has been effectively improved during urban renewal development;②the impact of urban renewal on public service system is characterized by differentiation,among which industrial and commercial facilities have been signifi cantly improved,while educational and medical facilities have been hardly improved;③urban renewal has a clear policy orientation as an institutional means,and promoting economic restructuring and industrial reorganization is still the primary purpose of urban renewal during inventory development stage.
基金Supported by Beijing Urban Governance Research Base Project of North China University of Technology (21CSZL11)。
文摘In the context of smart community construction, the intelligent renewal of community public service facilities faces many challenges. To study the spatial distribution of smart community and community public service facilities, the distribution status of public service facilities in Pingguoyuan Street, Shijingshan District, Beijing was analyzed through POI points and relying on ArcGIS as a platform, and the distribution of public service facilities and intelligent facility strategy in the context of smart community were explored to provide contributions to the construction of smart community and the spatial optimization of intelligent facilities.